A Bayesian Approach for Remote Depth Estimation of Buried Low-Level Radioactive Waste with a NaI(Tl) Detector

This study reports on the implementation of Bayesian inference to improve the estimation of remote-depth profiling for low-level radioactive contaminants with a low-resolution NaI(Tl) detector. In particular, we demonstrate that this approach offers results that are more reliable because it provides...

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Detalles Bibliográficos
Autores principales: Kim, Jinhwan, Lim, Kyung Taek, Park, Kyeongjin, Cho, Gyuseong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6960972/
https://www.ncbi.nlm.nih.gov/pubmed/31817414
http://dx.doi.org/10.3390/s19245365

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6960972/
https://www.ncbi.nlm.nih.gov/pubmed/31817414
http://dx.doi.org/10.3390/s19245365

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